Plots

---
#sets global options for document
title: "Advanced Dashboarding"
output: 
  flexdashboard::flex_dashboard:
    orientation: row
    vertical_layout: fill 
    social: ["menu"]
    source_code: embed
    theme:
      version: 4
      bootswatch: sandstone
---

```{r setup, include=FALSE}
library(flexdashboard)
library(tidyverse)
library(palmerpenguins)
library(plotly)
library(DT)
library(fontawesome)
data("penguins")

```

Plots {data-navmenu="Pages"}
=======================================================================

Sidebar {.sidebar}
-----------------------------------------------------------------------

### Penguin Stats In a Header

The number of penguins in the data is `r nrow(penguins)`

Row
-----------------------------------------------------------------------

### Number of Penguins in Another Header

```{r}
valueBox(nrow(penguins), icon = "fa-linux")
```

### Average Body Mass

```{r}
avg_mass=round(mean(penguins$body_mass_g,na.rm = T),1)
gauge(avg_mass,
      min=0,
      max=max(penguins$body_mass_g,na.rm=T),
      gaugeSectors(success=c(4000,6300),
                   warning = c(2000,3999),
                   danger = c(0,1999)))
```



Column {.tabset}
-----------------------------------------------------------------------

### Scatterplot of bill length versus depth

```{r}
a = penguins %>% ggplot(aes(x=bill_length_mm,y=bill_depth_mm,color=species))+
  geom_point()
ggplotly(a)
```


### Chart B

```{r}
penguins %>% ggplot(aes(x=body_mass_g,y=sex,fill=sex))+
  geom_boxplot()
```

### Chart C

```{r}
penguins %>% ggplot(aes(x=flipper_length_mm,fill=species))+
  geom_histogram()+
  facet_wrap(~species)
```

Data {data-navmenu="Pages"}

=======================================================================

```{r}
penguins %>% datatable(extensions = "Buttons",
                       options = list(dom="Blfrtip",
                                      buttons=c("copy","csv","excel","pdf","print")))
```